Papers by Muqiao Yang
Continual Contrastive Spoken Language Understanding (2024.findings-acl)
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| Challenge: | Recent advances in speech processing require extensive offline training . however, these models struggle to retain their previously acquired knowledge when learning new tasks continuously. |
| Approach: | They propose a method that relies on experience replay and contrastive learning to preserve the learned representations by pulling closer samples from the same class and pushing away the others. |
| Outcome: | The proposed method preserves the learned representations by pulling closer samples from the same class and pushing away the others. |
Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis (2020.emnlp-main)
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| Challenge: | Recent multimodal learning models with strong performances on human-centric tasks are often black-box with very limited interpretability. |
| Approach: | They propose a multimodal routing algorithm which dynamically adjusts weights between input and output modalities for each input sample. |
| Outcome: | The proposed model can interpret modality-prediction relationships globally and locally for each input sample while keeping competitive performance compared to state-of-the-art methods. |
Towards Noise-Tolerant Speech-Referring Video Object Segmentation: Bridging Speech and Text (2023.emnlp-main)
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| Challenge: | Recent advances in vision-language learning have significantly advanced Human-Computer Interactions (HCI). |
| Approach: | They propose a method to align the semantic spaces between speech and text by incorporating two modules to align semantic spaces. |
| Outcome: | The proposed method outperforms state-of-the-art approaches on AVOS benchmarks. |